Real-time Features

iQIYI Technical Product Team

Jun 28, 2024 · Artificial Intelligence

Feature Center Overview in iQIYI's Opal Machine Learning Platform

The Feature Center in iQIYI’s Opal platform centralizes feature creation, storage, and real‑time access through a drag‑and‑drop DAG workflow and DSL‑driven transformations, handling massive QPS and low‑latency demands while enabling fast business iteration, cross‑team reuse, and monitoring for advertising, recommendation, and risk‑control applications.

Big DataFeature EngineeringOpal

0 likes · 13 min read

Feature Center Overview in iQIYI's Opal Machine Learning Platform

DataFunTalk

May 6, 2024 · Big Data

OPPO Next‑Generation Big Data & AI Integrated Architecture on Functional Cloud

This article presents OPPO’s next‑generation big‑data and AI integrated architecture on functional cloud, detailing a cloud‑native elastic compute framework, a unified data‑lake solution, real‑time feature platforms, machine‑learning data acceleration, and hybrid‑cloud deployments, highlighting performance gains and cost reductions.

Artificial IntelligenceBig DataReal-time Features

0 likes · 11 min read

OPPO Next‑Generation Big Data & AI Integrated Architecture on Functional Cloud

HelloTech

Mar 21, 2024 · Big Data

Streaming Prediction System Construction and Real‑time Feature Templatization

The article describes how a Flink‑based streaming prediction platform was built to flatten peak request loads, reduce latency and memory use, and improve stability by deduplicating SDK calls, incrementally loading Hive features, partitioned caching, and comprehensive monitoring, while a templating system automates feature definition, SQL generation and stress testing, enabling real‑time supply‑demand forecasting that outperforms offline methods.

AIBig DataFlink

0 likes · 8 min read

Streaming Prediction System Construction and Real‑time Feature Templatization

DataFunTalk

Mar 25, 2023 · Artificial Intelligence

ZhongAn Financial Real‑Time Feature Platform: MLOps Practices, Architecture and Anti‑Fraud Applications

This article presents ZhongAn Financial’s end‑to‑end MLOps workflow and real‑time feature platform architecture, detailing team roles, data pipelines, Flink‑based processing, TableStore storage, anti‑fraud feature design, and answers to common implementation questions, offering a comprehensive guide for building scalable, low‑latency ML services in finance.

Data EngineeringFlinkReal-time Features

0 likes · 25 min read

ZhongAn Financial Real‑Time Feature Platform: MLOps Practices, Architecture and Anti‑Fraud Applications

NetEase LeiHuo UX Big Data Technology

Jul 14, 2022 · Artificial Intelligence

Evolution of Real‑Time Game Recommendation System at NetEase Leihuo

The article reviews the development of NetEase Leihuo's game recommendation system, covering the shift from offline batch recommendation to real‑time feature engineering and online inference, detailing architecture design, practical experiences, performance optimizations, and future directions such as real‑time training.

AIOnline InferenceReal-time Features

0 likes · 8 min read

Evolution of Real‑Time Game Recommendation System at NetEase Leihuo

Alimama Tech

Jan 12, 2022 · Artificial Intelligence

AI FAAS Solution for Advertising Tools: Architecture, Platform, and Real‑time Feature SQL Production

The team built a lightweight AI‑FAAS platform that migrates C++ ad‑algorithm services to a Java‑centric, cloud‑native environment, encapsulates core operators as DolphinSQL plugins, and defines real‑time feature pipelines via standardized SQL, cutting service creation from weeks to days, enabling rapid iteration, high operator reuse, and near‑instant feature delivery.

AIAlgorithm PlatformFaaS

0 likes · 14 min read

AI FAAS Solution for Advertising Tools: Architecture, Platform, and Real‑time Feature SQL Production

iQIYI Technical Product Team

Nov 12, 2021 · Artificial Intelligence

iQIYI Generic Ranking Framework for Video Recommendation

iQIYI’s generic ranking framework unifies feature production, replay, training, and ranking into modular, configurable phases that handle offline and real‑time data, support diverse models, provide automated monitoring, and have been deployed across all platforms, delivering over 20% higher watch time and doubling first‑play videos.

Feature EngineeringReal-time Featuresmachine learning

0 likes · 15 min read

iQIYI Generic Ranking Framework for Video Recommendation

TAL Education Technology

Apr 15, 2021 · Big Data

Global Feature Pool Architecture and Workflow for Data‑Driven Growth

The article describes a unified global feature pool architecture that standardizes offline and real‑time feature production, management, and service layers using Hive, Spark, Flink, Kafka, MySQL, and Hologres to break data silos, improve algorithm development efficiency, and boost growth business performance.

Big DataFeature EngineeringReal-time Features

0 likes · 7 min read

Global Feature Pool Architecture and Workflow for Data‑Driven Growth

Tencent Cloud Developer

Sep 30, 2020 · Artificial Intelligence

Tencent Kankan Information Feed: Architecture, Challenges, and Optimizations

Peng Mo’s talk details Tencent Kankan’s billion‑user feed architecture—layered data, recall, ranking, and exposure control—while addressing real‑time feature generation, massive concurrency, memory‑intensive caching, and fast indexing, and explains solutions such as multi‑level caches, online minute‑level model updates, Redis bloom‑filter exposure filtering, a lock‑free hash‑plus‑linked‑list index, and distributed optimizations that halve latency to under 500 ms and support auto‑scaling and cold‑start handling.

Real-time Featureslarge-scale architectureonline learning

0 likes · 15 min read